IEEE Trans Biomed Eng. 2022 Oct;69(10):3119-3130. doi: 10.1109/TBME.2022.3161726. Epub 2022 Sep 19.
The muscle synergy hypothesis assumes that the nervous system controls muscles in groups to simplify behavioral tasks, which makes it possible for modularizing motor function assessment. This paper presents a new assessment method based on muscle synergy space (MSS) model to evaluate motor functions after stroke. It consists of spatiotemporal feature module, muscle activation module and synergy activation module, and focuses on the spatial and temporal characteristics of muscle synergies via synergy vectors and activation coefficients. We further applied this method to reveal spatial and temporal characteristics difference of muscle synergy between healthy controls and stroke patients. The effectiveness and accuracy of MSS model were proved by significant positive correlations between Fugl-Meyer score and the total number of optimal synergies of three modules. This measurement methodology could serve as a quantitative indicator for motor function and provide more scientific rehabilitation guidance.
肌肉协同假说假设神经系统以肌群的方式控制肌肉，以简化行为任务，这使得模块化运动功能评估成为可能。本文提出了一种基于肌肉协同空间（MSS）模型的新评估方法，用于评估中风后的运动功能。它由时空特征模块、肌肉激活模块和协同激活模块组成，通过协同向量和激活系数关注协同的时空特征。我们进一步应用这种方法来揭示健康对照组和中风患者之间肌肉协同的时空特征差异。Fugl-Meyer 评分与三个模块的最优协同总数之间存在显著正相关，证明了 MSS 模型的有效性和准确性。这种测量方法可以作为运动功能的定量指标，为康复提供更科学的指导。
